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Writer is an enterprise generative AI platform that enables leading companies (Mars, Marriott, Uber, Vanguard) to build and deploy AI agents grounded in their data. The company is valued at $1.9B and backed by top-tier investors including Premji Invest, Radical Ventures, and ICONIQ Growth.
You will join the engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. This is a fullstack software engineering role focused on designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems.
Key responsibilities:
- Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks
- Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security, and workflow management
- Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs
- Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software
- Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance)
- Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability
The company has office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, with a team that thinks big and moves fast.
REQUIREMENTS:
- 3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environments
- Proficiency in native agentic coding, demonstrated through daily use of tools like Cursor, Claude Code, and other agentic coding platforms
- Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows
- Solid expertise with systems that integrate AI models, agent frameworks (e.g., Langraph, Agent Harness or platform-specific tooling), vector databases, and large context reasoning services
- Understanding of agent orchestration patterns, state management, and asynchronous workflows
- Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices
- Good grasp of performance optimization, testing frameworks, and CI/CD pipelines
- Excellent communication and collaboration skills, with a "connect + challenge + own" mindset
- Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
- Contributions to open-source agent toolkits or SDKs (preferred)
- Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces (preferred)
About Writer
AI / Data / Infrastructure; SaaS / Enterprise Software — enterprise generative AI platform for business teams.
